ADAS's continuous innovation makes the dream of a driverless car come true

Driverless cars have been a dream of mankind for many years. At the 1939 New York World Expo, the “Futurama” first mentioned the automated highway and regarded it as an important component of the “future world”. Today, emerging electronic technologies have turned past illusions into reality, making Google's driverless cars a household name. ConTI, Bosch and Denso have publicly predicted that the world's first fully automated driverless car will be available in 2020. In addition, major automakers and semiconductor manufacturers around the world are constantly innovating to develop driver assistance systems for consumers.

The Advanced Driver Assistance System (ADAS) consists of a series of electronic technologies designed to ensure the safety of the vehicle. ADAS is able to maintain a safe distance from other vehicles, alert drivers to dangerous situations, and protect passengers and pedestrians from bad driving habits, helping to prevent accidents. Automated driverless vehicles not only allow the driver to use time more efficiently during commuting or long-distance travel, but also help reduce vehicle crashes and prevent casualties. It can be seen that safety has always been one of the primary driving forces for the development of this technology. According to the Huffington Post, the driver's distraction has become a major focus of the policy agenda. Except for the nine states, the other states have passed bills to deal with this issue.

Camera-based ADAS technology will play an important role in this field. It has been around for a while and has matured in recent years. In the past, this technology was only used in high-end models, and over time it was gradually adopted in mid-range and economy cars. By installing front, rear or surround cameras and visual processing ECUs, ADAS technology provides drivers with a variety of pre-existing functions such as LDW (lane departure warning), parking assist, front/surround view, anti-collision Features and more. The US government has recently developed a federal standard requiring that all new vehicles with vehicles weighing less than 10,000 pounds must be equipped with spare cameras by mid-2018. According to Strategy AnalyTIcs, as of 2020, more than 100 million vehicles worldwide will be equipped with camera modules.

What are the basic requirements for the camera module in the vehicle environment?

The camera must be able to operate in the temperature range of minus 40 to 85 degrees Celsius and have a long service life without any quality problems. Current trends require support for higher temperatures (eg, 125 degrees Celsius) because they are applied to a fanless enclosed environment and mounted on top of the windshield.

The camera must remain in focus regardless of temperature changes; the temperature of the camera itself does not affect the focus of the picture.

The camera's system solution must be streamlined.

Due to its resolution and functional complexity, the ADAS camera requires an external flash memory to store system code. To fully realize the capabilities of this technology, automotive camera module manufacturers are looking for high quality, reliable and durable components. As the world's leading semiconductor supplier and leader in automotive flash memory products, Spansion is able to offer automotive manufacturers serial interface flash memory products for automotive applications, namely FL-S and FL-1K, which meet the requirements of automotive applications ADAS technology. Strict standards:

Wider temperature range (-40°C-125°C)

No defects (automotive reliability rating ensures 10 or fewer defects per million products)

Car Archive Service (Product Part Approval Process (PPAP))

Complete density coverage:

u FL-S: 128Mb ~ 1Gb

u FL-1K: 16Mb ~ 64Mb

Small:

FL-S: SOIC 16, 6&TImes; 8 mm WSON, 6&TImes; 8 mm BGA

FL-1K: SOIC 8, 5×6 mm WSON, 6×8 mm BGA

In addition, Spansion has more than 20 years of experience in automotive electronics and has an exciting blueprint for future growth to ensure that the flash memory needs of all vision-assisted driving applications will be met in the future.

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